SCI: TeraGrid Resource Partner
SCI:TeraGrid 资源合作伙伴
基本信息
- 批准号:0504064
- 负责人:
- 金额:$ 1491.92万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Cooperative Agreement
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-08-01 至 2015-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Extensible Terascale Facility (ETF) is the next stage in the evolution of NSF large-scale cyberinfrastructure for enabling high-end computational research. The ETF enables researchers to address the most challenging computational problems by utilizing the integrated resources, data collections, instruments and visualization capabilities of nine resource partners. On October 1, 2004, the ETF concluded a three-year construction effort to create this distributed environment called the TeraGrid (TG) and we are now entering the production operations phase.The TeraGrid resource partners inclue: the University of Chicago/Argonne National Laboratory, the San Diego Supercomputer Center at UCSD, the Texas Advanced Computing Center at UT-Austin, the National Center for Supercomputing Applications at UIUC, Indiana University, Purdue University, Oak Ridge National Laboratory, and the Pittsburgh Supercomputing Center.A separate proposal was submitted to NSF on October 19, 2004 for the TeraGrid Grid Infrastructure Group (GIG). Under the direction of Charlie Catlett at UC/ANL, in general, the GIG will be responsible for coordination of development activities for the TeraGrid with subcontracts to the partner sites. The resource partners (RP) will each have independent cooperative agreements with NSF, but will work closely with the GIG to implement the vision of the TeraGrid.This proposal outlines the plan at NCSA to participate as a resource partner in the TeraGrid team to provide the expanding user community with ongoing access to this computational science facility. This proposal covers the period November 1, 2004 through October 31, 2009.To fulfill NCSA's mission of enabling new scientific discoveries, NCSA brings its extensive experience and world-class leadership in supporting engineering and science research and education in a 24x7 production environment to the TeraGrid (TG). Our goals as a TG Resource Provider (RP) are to a) support applications development and tuning to enable users to develop highly effective grid applications, b) offer production-quality computational, data, and visualization services to support advanced science needs, c) respond rapidly to issues raised by users, administrators, or other TeraGrid sites, and d) support the services, software, policies, and milestones of the TG Grid Integration Group (GIG). The result of these efforts will be a stable, robust, secure, grid-enabled high-performance computing and storage environment that supports the development and execution of grid applications, science gateways, and capability applications. In fulfilling these goals, NCSA will leverage expertise and effort from other activities, including the NCSA/SDSC CyberInfrastrcture Partnership, to address the needs of the TG user communities to the greatest extent possible. The success of TG depends on the integration of the unique and collective strengths and capabilities of the individual sites and the GIG. NCSA's strengths are in the areas of application performance engineering, advanced grid applications support, software integration, packaging and support, distributed operations and procedures, large-scale parallel file systems and data-exchange and analysis tools, I/O and network performance analysis, security, and large-scale compute resources integrated with storage and visualization. Our hardware and software resources are backed by a knowledgeable and experienced staff well versed in working with high-end users. The integration of site-specific production services into the common TG user environment will make it possible for applications teams and user communities to increase their productivity by minimizing the effort required to access multiple or different resources while maximizing the quality and availability of those resources. This will enable current users to expand the scope and range of their scientific research, provide an easy-to-use, highly productive environment for new users and communities, and create a cyberinfrastructure that will be the basis for new scientific programs. NCSA's success within the TG will be measured by the degree to which its TG resources are effectively used to solve important scientific problems such as those being investigated by leading edge researchers.This proposal outlines NCSA's plan to participate as a resource provider on the TG team. We will provide to the expanding TG user community ongoing access to the growing NCSA-managed TG computational science facility. The TG RP grant will be used almost entirely to fund highly experienced NCSA personnel to support this facility and to serve the needs of TG users in coordination with NCSA's Core NSF support. Appendix A contains common text that links the nine TG RP proposals and the TG GIG proposal. Through this RP, we will empower research communities to do their science and Engineering research by seamless use of NCSA's TG and Core resources in the context of the larger TG effort. This includes support for distributed computation, data-centric science, on-demand computing, and connection to a broad range of emerging cyberinfrastructure-based capabilities funded from a variety of sources. Working together with scientists, engineers, and other RP sites, NCSA will help enable new research that would otherwise be much more difficult, or simply impossible, to carry out. NCSA will build, improve, and make available a set of high-end resources in support of the national research community. The results of this effort will lead to a hardware, software, and networking environment that can be extended to other facilities. It will also provide valuable information to others building grids that may include high-end facilities. Finally, NCSA's experienced staff will have a substantial positive impact on the quality of the TG environment and on the ability of users to work effectively in that environment.
可扩展太尺度设施(ETF)是NSF大规模网络基础设施发展的下一个阶段,用于实现高端计算研究。ETF使研究人员能够利用九个资源合作伙伴的综合资源、数据收集、仪器和可视化能力来解决最具挑战性的计算问题。2004年10月1日,ETF结束了为期三年的构建工作,以创建称为TeraGrid(TG)的分布式环境,我们现在进入生产运营阶段。TeraGrid资源合作伙伴包括:芝加哥大学/阿贡国家实验室、加州大学圣地亚哥分校超级计算机中心、德州大学奥斯汀分校的德克萨斯州高级计算中心、UIUC的国家超级计算应用中心、印第安纳州大学、普渡大学、橡树岭国家实验室和匹兹堡超级计算中心。2004年10月19日,TeraGrid网格基础设施组(GIG)向NSF提交了一份单独的提案。在UC/ANL的Charlie Catlett的指导下,一般来说,GIG将负责协调TeraGrid的开发活动,并将合同分包给合作伙伴网站。资源合作伙伴(RP)将分别与NSF签订独立的合作协议,但将与GIG密切合作,以实现TeraGrid的愿景。该提案概述了NCSA作为TeraGrid团队的资源合作伙伴参与的计划,以向不断扩大的用户社区提供对该计算科学设施的持续访问。该提案涵盖2004年11月1日至2009年10月31日期间。为了履行NCSA促进新科学发现的使命,NCSA将其在全天候生产环境中支持工程和科学研究及教育方面的丰富经验和世界一流的领导地位带到TeraGrid(TG)。 作为一个TG资源提供商(RP),我们的目标是a)支持应用程序开发和调优,使用户能够开发高效的网格应用程序,B)提供生产质量的计算,数据和可视化服务,以支持先进的科学需求,c)快速响应用户,管理员或其他TeraGrid网站提出的问题,d)支持服务,软件,政策,TG Grid Integration Group(GIG)的主要任务。 这些努力的结果将是一个稳定、健壮、安全、支持网格的高性能计算和存储环境,支持网格应用程序、科学网关和能力应用程序的开发和执行。 在实现这些目标的过程中,国家能力自评将利用来自其他活动的专门知识和努力,包括国家能力自评/国家空间数据中心网络结构伙伴关系,以尽最大可能满足技术小组用户群体的需求。TG的成功取决于各个站点和GIG的独特和集体优势和能力的整合。NCSA的优势在于应用程序性能工程、高级网格应用程序支持、软件集成、打包和支持、分布式操作和过程、大规模并行文件系统和数据交换及分析工具、I/O和网络性能分析、安全性以及与存储和可视化集成的大规模计算资源。我们的硬件和软件资源由精通与高端用户合作的知识渊博、经验丰富的员工提供支持。将特定于站点的生产服务集成到通用TG用户环境中,将使应用程序团队和用户社区能够通过最大限度地减少访问多个或不同资源所需的工作,同时最大限度地提高这些资源的质量和可用性,从而提高其生产力。这将使现有用户能够扩大其科学研究的范围和范围,为新用户和社区提供一个易于使用、高效的环境,并创建一个网络基础设施,作为新科学计划的基础。NCSA在TG中的成功将通过其TG资源有效用于解决重要科学问题的程度来衡量,例如前沿研究人员正在调查的问题。我们将为不断扩大的TG用户社区提供不断增长的NCSA管理的TG计算科学设施。 TG RP赠款将几乎全部用于资助经验丰富的NCSA人员,以支持这一设施,并与NCSA的核心NSF支持协调,满足TG用户的需求。附录A包含链接TG RP九个提案和TG GIG提案的通用文本。通过这个RP,我们将授权研究团体在更大的TG工作背景下无缝使用NCSA的TG和核心资源来进行科学和工程研究。这包括支持分布式计算、以数据为中心的科学、按需计算,以及连接到由各种来源资助的各种新兴网络基础设施能力。 NCSA与科学家、工程师和其他RP站点合作,将有助于实现新的研究,否则这些研究将更加困难,甚至根本不可能进行。 国家能力自评将建立、改进和提供一套高端资源,以支持国家研究界。 这一努力的结果将产生一个可以扩展到其他设施的硬件、软件和网络环境。它还将为其他可能包括高端设施的电网建设提供有价值的信息。最后,国家能力自评的经验丰富的工作人员将对技术小组环境的质量和用户在这种环境中有效工作的能力产生重大的积极影响。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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John Towns其他文献
Cyberinfrastructure Usage Modalities on the TeraGrid
TeraGrid 上的网络基础设施使用方式
- DOI:
10.1109/ipdps.2011.239 - 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Daniel S. Katz;David L. Hart;C. Jordan;Amitava Majumdar;J. Navarro;Warren Smith;John Towns;Von Welch;Nancy Wilkins - 通讯作者:
Nancy Wilkins
NEESGgrid: A Distributed Virtual Laboratory for Advanced Earthquake Experimentation and Simulation
- DOI:
- 发表时间:
2001 - 期刊:
- 影响因子:0
- 作者:
John Towns - 通讯作者:
John Towns
Project Description: XSEDE: eXtreme Science and Engineering Discovery Environment
项目描述:XSEDE:极限科学与工程发现环境
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
John Towns;P. Andrews;J. Boisseau;R. Roskies;Janet O. Brown;Kathlyn Boudwin;T. Cockerill;A. Grimshaw;P. Kovatch;Scott D. Lathrop;Michael J. Levine;S. Sanielevici;D. Stanzione;K. Wallnau - 通讯作者:
K. Wallnau
Enabling real-time multi-messenger astrophysics discoveries with deep learning
利用深度学习实现实时多信使天体物理学发现
- DOI:
10.1038/s42254-019-0097-4 - 发表时间:
2019-10-03 - 期刊:
- 影响因子:39.500
- 作者:
E. A. Huerta;Gabrielle Allen;Igor Andreoni;Javier M. Antelis;Etienne Bachelet;G. Bruce Berriman;Federica B. Bianco;Rahul Biswas;Matias Carrasco Kind;Kyle Chard;Minsik Cho;Philip S. Cowperthwaite;Zachariah B. Etienne;Maya Fishbach;Francisco Forster;Daniel George;Tom Gibbs;Matthew Graham;William Gropp;Robert Gruendl;Anushri Gupta;Roland Haas;Sarah Habib;Elise Jennings;Margaret W. G. Johnson;Erik Katsavounidis;Daniel S. Katz;Asad Khan;Volodymyr Kindratenko;William T. C. Kramer;Xin Liu;Ashish Mahabal;Zsuzsa Marka;Kenton McHenry;J. M. Miller;Claudia Moreno;M. S. Neubauer;Steve Oberlin;Alexander R. Olivas;Donald Petravick;Adam Rebei;Shawn Rosofsky;Milton Ruiz;Aaron Saxton;Bernard F. Schutz;Alex Schwing;Ed Seidel;Stuart L. Shapiro;Hongyu Shen;Yue Shen;Leo P. Singer;Brigitta M. Sipocz;Lunan Sun;John Towns;Antonios Tsokaros;Wei Wei;Jack Wells;Timothy J. Williams;Jinjun Xiong;Zhizhen Zhao - 通讯作者:
Zhizhen Zhao
The Professionalization of Cyberinfrastructure Personnel?
网络基础设施人员的专业化?
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
N. Berente;S. Ahalt;James B. Bottum;D. Brunson;J. Cutcher;J. Howison;J. King;Henry Neeman;John Towns;Nancy Wilkins;Susan J. Winter - 通讯作者:
Susan J. Winter
John Towns的其他文献
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{{ truncateString('John Towns', 18)}}的其他基金
ACO: An Open CI Ecosystem to Advance Scientific Discovery (OpenCI)
ACO:促进科学发现的开放 CI 生态系统 (OpenCI)
- 批准号:
2138296 - 财政年份:2022
- 资助金额:
$ 1491.92万 - 项目类别:
Cooperative Agreement
BIGDATA: IA: Collaborative Research: Understanding the Financial Market Ecosystem
BIGDATA:IA:协作研究:了解金融市场生态系统
- 批准号:
1838215 - 财政年份:2018
- 资助金额:
$ 1491.92万 - 项目类别:
Standard Grant
XSEDE 2.0: Integrating, Enabling and Enhancing National Cyberinfrastructure with Expanding Community Involvement
XSEDE 2.0:通过扩大社区参与来整合、启用和增强国家网络基础设施
- 批准号:
1548562 - 财政年份:2016
- 资助金额:
$ 1491.92万 - 项目类别:
Cooperative Agreement
XSEDE: eXtreme Science and Engineering Discovery Environment
XSEDE:极限科学与工程发现环境
- 批准号:
1053575 - 财政年份:2011
- 资助金额:
$ 1491.92万 - 项目类别:
Cooperative Agreement
Evaluating and Enhancing the eXtreme Digital (XD) Cyberinfrastructure for Maximum Usability and Science Impact
评估和增强极限数字 (XD) 网络基础设施,以实现最大可用性和科学影响
- 批准号:
0946505 - 财政年份:2010
- 资助金额:
$ 1491.92万 - 项目类别:
Cooperative Agreement
Ember: a critical science and engineering enabling SMP resource
Ember:支持 SMP 的关键科学和工程资源
- 批准号:
1012087 - 财政年份:2010
- 资助金额:
$ 1491.92万 - 项目类别:
Continuing Grant
Planning for XSEDE: the eXtreme Science and Engineering Discovery Environment
规划 XSEDE:极限科学与工程发现环境
- 批准号:
0941686 - 财政年份:2009
- 资助金额:
$ 1491.92万 - 项目类别:
Standard Grant
Graduate Research Fellows Cyberinfrastructure Resources Workshop
研究生研究员网络基础设施资源研讨会
- 批准号:
0750408 - 财政年份:2007
- 资助金额:
$ 1491.92万 - 项目类别:
Standard Grant
The NLANR Distributed Applications Support Team: Enabling Distributed Research in Middleware-Based Grid Environments
NLANR 分布式应用程序支持团队:在基于中间件的网格环境中实现分布式研究
- 批准号:
0129681 - 财政年份:2002
- 资助金额:
$ 1491.92万 - 项目类别:
Cooperative Agreement
National Laboratory for Applied Networking Research (NLANR):Distributed Applications Support Team (DAST)
应用网络研究国家实验室(NLANR):分布式应用支持团队(DAST)
- 批准号:
9725292 - 财政年份:1997
- 资助金额:
$ 1491.92万 - 项目类别:
Cooperative Agreement
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SCI: TeraGrid Resource Partners
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- 批准号:
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